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GECCO
2006
Springer
185views Optimization» more  GECCO 2006»
14 years 7 days ago
Robot gaits evolved by combining genetic algorithms and binary hill climbing
In this paper an evolutionary algorithm is used for evolving gaits in a walking biped robot controller. The focus is fast learning in a real-time environment. An incremental appro...
Lena Mariann Garder, Mats Erling Høvin
GECCO
2006
Springer
237views Optimization» more  GECCO 2006»
14 years 7 days ago
Genetic algorithms to optimise the time to make stock market investment
The application of Artificial Intelligence described in this article is intended to resolve the issue of speculation on the stock market. Genetic Algorithms is the technique that ...
David de la Fuente, Alejandro Garrido, Jaime Lavia...
GECCO
2006
Springer
176views Optimization» more  GECCO 2006»
14 years 7 days ago
Evolutionary interactive music composition
This paper proposes the CFE framework--Composition, Feedback, and Evolution--and presents an interactive music composition system. The system composes short, manageable pieces of ...
Tao-yang Fu, Tsu-yu Wu, Chin-te Chen, Kai-chu Wu, ...
GECCO
2006
Springer
180views Optimization» more  GECCO 2006»
14 years 7 days ago
Improving cooperative GP ensemble with clustering and pruning for pattern classification
A boosting algorithm based on cellular genetic programming to build an ensemble of predictors is proposed. The method evolves a population of trees for a fixed number of rounds an...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
14 years 7 days ago
Evolutionary search for optimal combinations of markers in clothing manufacturing
Optimizing combinations of placements of parts, known as markers, is an important preparatory step in order-based industrial production of clothes. Given a work order in the form ...
Bogdan Filipic, Iztok Fister, Marjan Mernik
GECCO
2006
Springer
110views Optimization» more  GECCO 2006»
14 years 7 days ago
A game-theoretic investigation of selection methods in two-population coevolution
We examine the dynamical and game-theoretic properties of several selection methods in the context of twopopulation coevolution. The methods we examine are fitness-proportional, l...
Sevan G. Ficici
GECCO
2006
Springer
202views Optimization» more  GECCO 2006»
14 years 7 days ago
Evolving hash functions by means of genetic programming
The design of hash functions by means of evolutionary computation is a relatively new and unexplored problem. In this work, we use Genetic Programming (GP) to evolve robust and fa...
César Estébanez, Julio César ...
GECCO
2006
Springer
170views Optimization» more  GECCO 2006»
14 years 7 days ago
Towards an evolutionary tool for the allocation of supermarket shelf space
In this paper we set the first steps towards the development of a commercially viable tool that uses evolutionary computation to address the Product to Shelf Allocation Problem (P...
Anna Esparcia-Alcázar, Lidia Lluch-Revert, ...
GECCO
2006
Springer
168views Optimization» more  GECCO 2006»
14 years 7 days ago
3D airspace sectoring by evolutionary computation: real-world applications
This paper presents a new method for 3D cutting of geometrical space with application to airspace sectoring. This problem comes from the air traffic management but the proposed me...
Daniel Delahaye, Stephane Puechmorel
GECCO
2006
Springer
145views Optimization» more  GECCO 2006»
14 years 7 days ago
Multi-objective test problems, linkages, and evolutionary methodologies
Existing test problems for multi-objective optimization are criticized for not having adequate linkages among variables. In most problems, the Pareto-optimal solutions correspond ...
Kalyanmoy Deb, Ankur Sinha, Saku Kukkonen